Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
- TRE601 Turkish Compulsory 3 + 0 3.0 9.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. Onur ER, Dr. Öğr. Üyesi Hakan SARITİKEN
Instructor(s) Dr. Öğr. Üyesi Hakan SARITİKEN (Güz)
Goals The aim of this course is to define the conceptual framework of linguistic meaning and to examine the methods and techniques used in semantics and meaning analysis. Doctoral students will learn various theoretical approaches in meaning analysis and interpretation processes, gaining advanced skills in text analysis and language interpretation.
Course Content This course includes examining comprehension and language skills, reviewing certain listening and reading method techniques (listening by taking notes, listening with empathy, free reading, etc.) and discussing the effectiveness of these methods and techniques.
Learning Outcomes
# Öğrenme Kazanımı
1 The student recognizes various methods and techniques used in analyzing linguistic meaning and applies these techniques in analytical processes.
2 The student interprets meaning in text and discourse analysis by considering context and pragmatic meaning.
3 The student critically evaluates theoretical approaches in meaning analysis and applies them in their own research.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Semantics: Basic Concepts Other Activities, Research
2. Week The Nature of Meaning and the Framework of Linguistic Meaning Other Activities, Research, Interview
3. Week Methods of Semantics: Classical and Modern Approaches Other Activities, Interview, Research
4. Week The Relationship between Context and Meaning Interview, Other Activities, Research
5. Week Techniques for Meaning Analysis in Spoken and Written Language Use Other Activities, Interview, Research
6. Week The Relationship between Syntax and Meaning Other Activities, Interview, Research
7. Week Pragmatic Meaning: Communication and Inferences Interview, Research, Other Activities
8. Week Meaning and Metaphors: Conceptual Approaches Other Activities, Interview, Research
9. Week Structural and Functional Methods in Semantic Analysis Research, Interview, Other Activities
10. Week Semantic Techniques in Text Analysis Interview, Research, Other Activities
11. Week Cognitive Approaches in Meaning Analysis Other Activities, Interview, Research
12. Week Meaning and Interpretation in Digital Text Analysis Other Activities, Research, Interview, Presentation (Preparation)
13. Week Multidisciplinary Studies in Meaning Analysis Other Activities, Research, Interview
14. Week General Evaluation and Project Presentations Research, Other Activities, Interview
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Based on master of science competencies, he improves and deepens high level of knowledge with original thinking and research
7 Present his/her scientific research results in scientific communities
9 Using language becarrefull.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 5 4 5
PY7 4 3 5
PY9 4 4 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Kearns, K. (2011). Semantics. Macmillan.
  • Cruse, D. A. (2011). Meaning in Language: An Introduction to Semantics and Pragmatics. Oxford University Press.
  • Lyons, J. (1995). Linguistic Semantics: An Introduction. Cambridge University Press.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 4 56
Ders Dışı
Preparation, After Class Study 12 10 120
Research 2 25 50
Sınavlar
Practice 4 1 4
Total Workload 230
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 9.0